Dillon de Silva

Knowledge shared is knowledge multiplied. Based in Sydney, Australia.
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Passionately curious engineer. I like machine learning, neural engineering, coffee and thinking about how we can use technology to improve our world.

In my spare time, you'll find me enjoying a cup of coffee with family/friends, avidly following motorsports or going on a long run.

Work Experience

Harrison AI
Machine Learning Engineer

Since June 2025, I've been working on the AI team at Harrison AI building models for clinicians. My work has included:

  • Algorithm development relating to data-efficient sampling for training deep learning models as the subject of my honours research thesis.
  • Feature detection algorithms implemented for Harrison AI CT Chest.
SafetyCulture
SWE Intern

Software Engineering Intern, December 2024 to February 2025.

  • Developed several customer-facing React components.
  • Developed a bulk export feature over complex structured data in ASP.NET, reducing access time from hours to seconds.
  • Built an Agentic AI system using Bedrock, allowing users to more easily interact with the platform and carry out tasks.
Hexle AI
Founder, Engineer
I spent 8 months developing an AI SaaS platform to enhance literature search and provide researchers with a productive workflow tool. This was my first startup venture and whilst we've hit the brakes for now, you can try out our product here. I consider developing Hexle to have been one of my most valuable learning experiences as both an engineer and founder.
IDE Group
Engineering Intern
During the 2023-2024 Summer, I completed an internship at IDE. My responsibilities included conducting FEA simulations, operating 3D printers, performing tensile tests, and analysing experimental data to identify the root cause of faulty mechanical system.
WiseTech Global
Software Engineer
Just a few days after completing my final high school exams, I joined the Data Science and Machine Learning team as a software development intern. I built out an anomaly detection system for parquet files and this inspired me to continue furthering my DS/ML knowledge. Following this, I joined the company part-time for 2 years where I conducted several data analyses for product teams, optimised LLM inference times and worked on a couple R&D projects.

Projects & Other Experience

Neurospike
Student Researcher
After my introductory bioelectronics course, I couldn't help but wonder if there was a more intuitive way for computational neuronal modelling to be taught. This led me to create Neurospike - a beautiful neuron simulator for educators, leveraging webassembly for client-side simulation.
SYNCS
Industry Liaison
During my time at SYNCS, I held various roles including Undergraduate Representative, Industry Liaison, and Industry Subcommittee member, contributing to the growth and success of the student society through event planning, sponsorship, and community engagement. This was a great way for me to share my passion for computer science with other students.

Articles

Building Local LM Desktop Applications with Tauri